E-PSCI 236. Environmental Modeling and Data Analysis

Graduate-level introduction to environmental modeling and data analysis: data visualization, statistical inference, Bayes Theorem, optimal estimation, adjoint methods, Monte Carlo methods, time series analysis, denoising; principles and numerical methods for chemical transport and inverse models.

Notes: The course time is flexible. Lecture and section times will be chosen in consultation with students to maximize participation. Focused on computer-based projects, 2- 4 hours per week, in small groups, adapted for on-line instruction in 2020. Suitable for: graduate students and advanced undergraduates in Earth and Planetary Sciences, Environmental Science and Engineering, Applied Math, Chemistry, and Physics. At MIT: EAPS, Civil & Environmental. Helpful to have preparation in differential equations, or atmospheric science, but not required.

Recommended Prep: Applied Mathematics 105; a course in atmospheric chemistry (EPS 133 or 200 or equivalent); or permission of the instructors.







Course ID: 


Subject Area: 

Earth and Planetary Sciences

Research Areas: 

  • [Course titles in brackets] indicate that the course is not scheduled to be taught during the 2020-2021 academic year, but may be offered in an alternate year.
  • An asterisk (*) before a course number indicates that a student must obtain the instructor's permission in order to enroll in the course.

Harvard University
Center for the Environment

Address: 26 Oxford Street, 4th Floor, Cambridge
Phone: (617) 495-0368

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